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Related papers: Landmine Detection Using Autoencoders on Multi-pol…

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Landmines, specifically anti-tank mines, cluster bombs, and unexploded ordnance form a serious problem in many countries. Several landmine sweeping techniques are used for minesweeping. This paper presents the design and the implementation…

Neural and Evolutionary Computing · Computer Science 2012-10-31 Roger Achkar , Michel Owayjan

Ground penetrating radar (GPR) provides a promising technology for accurate subsurface object detection. In particular, it has shown promise for detecting landmines with low metal content. However, the ground bounce (GB) that is present in…

Machine Learning · Computer Science 2025-06-24 Li Tang , Peter A. Torrione , Cihat Eldeniz , Leslie M. Collins

Ground penetrating radar (GPR) is one of the most popular and successful sensing modalities that has been investigated for landmine and subsurface threat detection. Many of the detection algorithms applied to this task are supervised and…

Computer Vision and Pattern Recognition · Computer Science 2016-12-13 Daniël Reichman , Leslie M. Collins , Jordan M. Malof

The detection and removal of landmines is a complex and risky task that requires advanced remote sensing techniques to reduce the risk for the professionals involved in this task. In this paper, we propose a novel synthetic dataset for…

Computer Vision and Pattern Recognition · Computer Science 2025-03-03 Emanuele Vivoli , Lorenzo Capineri , Marco Bertini

In this paper, we adapt the Faster-RCNN framework for the detection of underground buried objects (i.e. hyperbola reflections) in B-scan ground penetrating radar (GPR) images. Due to the lack of real data for training, we propose to…

Computer Vision and Pattern Recognition · Computer Science 2018-03-23 Minh-Tan Pham , Sébastien Lefèvre

3D object reconstruction based on deep neural networks has gained increasing attention in recent years. However, 3D reconstruction of underground objects to generate point cloud maps remains a challenge. Ground Penetrating Radar (GPR) is…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Jinchang Zhang , Guoyu Lu

In this paper we consider the development of algorithms for the automatic detection of buried threats using ground penetrating radar (GPR) measurements. GPR is one of the most studied and successful modalities for automatic buried threat…

Computer Vision and Pattern Recognition · Computer Science 2019-05-16 Jordan M. Malof , Daniel Reichman , Andrew Karem , Hichem Frigui , Dominic K. C. Ho , Joseph N. Wilson , Wen-Hsiung Lee , William Cummings , Leslie M. Collins

Forward-looking ground-penetrating radar (FLGPR) has recently been investigated as a remote sensing modality for buried target detection (e.g., landmines). In this context, raw FLGPR data is beamformed into images and then computerized…

Computer Vision and Pattern Recognition · Computer Science 2018-02-14 Joseph A. Camilo , Leslie M. Collins , Jordan M. Malof

In this paper, a new classification model based on covariance matrices is built in order to classify buried objects. The inputs of the proposed models are the hyperbola thumbnails obtained with a classical Ground Penetrating Radar (GPR)…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Douba Jafuno , Ammar Mian , Guillaume Ginolhac , Nickolas Stelzenmuller

Many countries in the world are contaminated with landmines. Several thousand casualties occur every year. Although there are certain types of mines that can be detected from a safe stand-off position with tools, humanitarian demining is…

Signal Processing · Electrical Eng. & Systems 2020-05-07 Markus Schartel , Ralf Burr , Rik Bähnemann , Winfried Mayer , Christian Waldschmidt

Ground Penetrating Radar (GPR) has been widely used in pipeline detection and underground diagnosis. In practical applications, the characteristics of the GPR data of the detected area and the likely underground anomalous structures could…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Ao Chen , Xiren Zhou , Yizhan Fan , Huanhuan Chen

Landmines have been extensively used in conflict zones as an indiscriminate weapon to control military movements, often remaining active long after hostilities have ended. Their presence poses a persistent danger to civilians, hindering…

Signal Processing · Electrical Eng. & Systems 2025-10-03 Alex Paul Hoffmann , Matthew G. Finley , Eftyhia Zesta , Mark B. Moldwin , Lauro V. Ojeda

We propose a robust likelihood-ratio test (LRT) to detect landmines and unexploded ordnance using a forward-looking ground-penetrating radar. Instead of modeling the distributions of the target and clutter returns with parametric families,…

Signal Processing · Electrical Eng. & Systems 2021-11-18 Afief Dias Pambudi , Michael Fauß , Fauzia Ahmad , Abdelhak M. Zoubir

Ground Penetrating Radar (GPR) is one of the most important non-destructive evaluation (NDE) devices to detect the subsurface objects (i.e. rebars, utility pipes) and reveal the underground scene. One of the biggest challenges in GPR based…

Signal Processing · Electrical Eng. & Systems 2020-08-21 Jinglun Feng , Liang Yang , Haiyan Wang , Yifeng Song , Jizhong Xiao

Ground Penetrating Radar (GPR) is one of the most important non-destructive evaluation (NDE) devices to detect subsurface objects (i.e., rebars, utility pipes) and reveal the underground scene. The two biggest challenges in GPR-based…

Signal Processing · Electrical Eng. & Systems 2021-05-18 Jinglun Feng , Liang Yang , Jizhong Xiao

Ground Penetrating Radar (GPR) has been widely used to estimate the healthy operation of some urban roads and underground facilities. When identifying subsurface anomalies by GPR in an area, the obtained data could be unbalanced, and the…

Computer Vision and Pattern Recognition · Computer Science 2022-11-23 Xiren Zhou , Shikang Liu , Ao Chen , Yizhan Fan , Huanhuan Chen

Landmines remain a pervasive threat in conflict-affected regions worldwide, exacting a toll on innocent lives. Shockingly, every 95 minutes, another individual becomes a victim of these lethal explosive devices (Landmines Monitor 2022…

Image and Video Processing · Electrical Eng. & Systems 2024-11-01 Muhammad Umair Akram Butt , Zaighum Naveed , Usama Javed

The horizontal orientation angle and vertical inclination angle of an elongated subsurface object are key parameters for object identification and imaging in ground penetrating radar (GPR) applications. Conventional methods can only extract…

Image and Video Processing · Electrical Eng. & Systems 2022-01-05 Hai-Han Sun , Yee Hui Lee , Chongyi Li , Genevieve Ow , Mohamed Lokman Mohd Yusof , Abdulkadir C. Yucel

Subsurface evaluation of railway tracks is crucial for safe operation, as it allows for the early detection and remediation of potential structural weaknesses or defects that could lead to accidents or derailments. Ground Penetrating Radar…

Machine Learning · Computer Science 2025-01-22 Farhad Kooban , Aleksandra Radlińska , Reza Mousapour , Maryam Saraei

Earth structural heterogeneities have a remarkable role in the petroleum economy for both exploration and production projects. Automatic detection of detailed structural heterogeneities is challenging when considering modern machine…

Computer Vision and Pattern Recognition · Computer Science 2024-04-17 Luiz Schirmer , Guilherme Schardong , Vinícius da Silva , Rogério Santos , Hélio Lopes
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